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» Cosparse analysis modeling - uniqueness and algorithms
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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 7 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
CVPR
2010
IEEE
16 years 3 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
GLOBECOM
2009
IEEE
16 years 2 months ago
MRSD: Multirate-Based Service Differentiation for the IEEE 802.15.4 Wireless Sensor Network
—The IEEE 802.15.4 standard has no provisions for rate sensitive applications because of its ability to operate in pure CSMA/CA or TDMA modes. Some operating scenarios for rate-s...
Chewoo Na, Yaling Yang
IEEECGIV
2009
IEEE
16 years 1 months ago
Surface Mesh Segmentation Using Local Geometry
—We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular...
Chansophea Chuon, Sumanta Guha